药用槐花抗炎活性的网络药理学分析

doi:10.16431/j.cnki.1671-7236.2022.09.036

摘要/Abstract

摘要： 【目的】基于网络药理学方法探究中药槐花主要活性成分的抗炎作用机制。【方法】依托TCMSP数据库筛选槐花有效成分及相应靶点，利用Uniprot数据库和Cytoscape 3.6.1软件构建有效成分-靶点网络图；结合NCBI、GeneCards、OMIM等数据库检索槐花抗炎相关靶点，上传至STRING平台，构建蛋白互作网络图；利用DAVID数据库对关键靶点进行GO功能和KEGG通路富集分析。【结果】槐花中主要有槲皮素、异鼠李素、山奈酚、β-谷甾醇、N-[6-9-吖啶基氨基己基]苯甲酰胺和槲皮素-3-甲基醚6种有效成分，可作用于IL10、NFKBIA、ICAM1、MMP2、BCL2L1、STAT1、VCAM1、IFNG、MAPK14和IL2等152个抗炎靶点。与生物过程相关的条目16个，即RNA聚合酶Ⅱ启动子转录的正调控、正调控转录DNA模板、凋亡过程的负调控、基因表达的正调控、炎症反应和细胞对脂多糖的反应等；与分子功能相关的条目6个，即酶结合、转录因子结合、蛋白结合等；与细胞组分相关的条目2个，即细胞外间隙和细胞质基质；21条相关信号通路，即TNF信号通路、Toll样受体信号通路、T细胞受体信号通路、NOD样受体信号通路、癌症通路、乙型肝炎、HTLV-Ⅰ感染、甲型流感等。【结论】槐花可能通过槲皮素、异鼠李素、山奈酚、β-谷甾醇等活性成分作用于RB1、CDKN1A、IKBKB、CHUK、IL2和CXCL10等关键靶标，参与TNF信号通路、Toll样受体信号通路、T细胞受体信号通路、NOD样受体信号通路联合发挥抗炎作用，揭示了槐花多成分、多靶点、多通路的抗炎作用机制。

关键词: 网络药理学; 槐花; 抗炎活性; 靶点; 信号通路

Abstract: 【Objective】 The aim of this study was to explore the anti-inflammatory mechanism of the main active components of Sophora japonica L.(S.japonica L.) based on network pharmacology.【Method】 The effective components and targets of S.japonica L.were screened from the TCMSP database and constructed an active component-target network diagram using the Uniprot database and the Cytoscape 3.6.1 software.Combined with the NCBI, GeneCards and OMIM databases to search the anti-inflammatory related targets of S.japonica L., the core target genes were uploaded to the STRING platform to build a protein-protein interaction network (PPI). DAVID database was used to analyze key targets by GO function and KEGG pathway enrichment.【Result】 The results showed that there were six active components in S.japonica L.including quercetin, isorhamnetin, kaempferol, beta-sitosterol, N-[6-(9-acridinylamino) hexyl] benzamide and quercetin-3-methyl ether.It could act on 152 anti-inflammatory targets including IL10, NFKBIA, ICAM1, MMP2, BCL2L1, STAT1, VCAM1, IFNG, MAPK14 and IL2.There were 16 items related to biological processes, including positive regulation of transcription from RNA polymerase Ⅱ promoter, transcription DNA-templated and gene expression, negative regulation of apoptotic process, inflammatory response and cellular response to lipopolysaccharide (LPS), etc.;6 items related to molecular function, including enzyme binding, transcription factor binding, protein binding, etc.;2 items related to cellular components, including extracellular space and cytosol. And 21 related signaling pathways, including TNF signaling pathway, Toll-like receptor signaling pathway, T cell receptor signaling pathway, NOD-like receptor signaling pathway, cancer pathway, hepatitis B, HTLV-Ⅰ infection and influenza A, etc.【Conclusion】 The results showed S.japonica L. might act on key targets such as quercetin, isorhamnetin, kaoneferol, beta-sitosterol and other active ingredients, played an anti-inflammatory role mainly through TNF, Toll-like receptor, T-cell receptor and NOD like receptor signaling pathways acting on RB1, CDKN1A, IKBKB, CHU, IL2, CXCL10 and other key targets.The results indicated that the anti-inflammatory mechanism of S.japonica L. might involve in multiple components, targets and pathways.

Key words: network pharmacology; Sophora japonica L.; anti-inflammatory activity; targets; signaling pathway

中图分类号:

S853.74

范秋雨, 武建文, 李焕荣. 药用槐花抗炎活性的网络药理学分析[J]. 中国畜牧兽医, 2022, 49(9): 3622-3632.

FAN Qiuyu, WU Jianwen, LI Huanrong. Network Pharmacology Analysis of Anti-inflammatory Activity of Medicinal Sophora japonica L.[J]. China Animal Husbandry and Veterinary Medicine, 2022, 49(9): 3622-3632.

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